Profiling Report for ElectricVehicles.csv

Dataset statistics

Number of variables	17
Number of observations	205439
Missing cells	482
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	130.9 MiB
Average record size in memory	668.2 B

Variable types

Text	6
Categorical	4
Numeric	7

Alerts

`2020 Census Tract` is highly overall correlated with `State`	High correlation
`CAFV` is highly overall correlated with `E.V_Type` and 2 other fields	High correlation
`E.V_Type` is highly overall correlated with `CAFV` and 2 other fields	High correlation
`Electric Range` is highly overall correlated with `CAFV` and 2 other fields	High correlation
`Legislative District` is highly overall correlated with `State`	High correlation
`Make` is highly overall correlated with `CAFV` and 1 other fields	High correlation
`Model Year` is highly overall correlated with `Electric Range`	High correlation
`Postal Code` is highly overall correlated with `State`	High correlation
`State` is highly overall correlated with `2020 Census Tract` and 2 other fields	High correlation
`State` is highly imbalanced (99.4%)	Imbalance
`Postal Code` is highly skewed (γ1 = -30.21116405)	Skewed
`2020 Census Tract` is highly skewed (γ1 = -27.12221244)	Skewed
`DOL Vehicle ID` has unique values	Unique
`Electric Range` has 114172 (55.6%) zeros	Zeros
`Base MSRP` has 202114 (98.4%) zeros	Zeros

Reproduction

Analysis started	2024-10-16 13:42:37.200960
Analysis finished	2024-10-16 13:43:09.463253
Duration	32.26 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

VIN (1-10)
Text

Distinct	12140
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	11.6 MiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	2054390
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2250 ?
Unique (%)	1.1%

Sample

1st row	JTMAB3FV3P
2nd row	1N4AZ1CP6J
3rd row	5YJ3E1EA4L
4th row	1N4AZ0CP8E
5th row	1G1FX6S00H

Value	Count	Frequency (%)
7saygdee6p	1221	0.6%
7saygdee7p	1217	0.6%
7saygdeexp	1181	0.6%
7saygdee5p	1176	0.6%
7saygdee8p	1174	0.6%
7saygdee9p	1143	0.6%
7saygdee0p	1142	0.6%
7saygdee2p	1141	0.6%
7saygdee3p	1120	0.5%
7saygdee1p	1107	0.5%
Other values (12130)	193817	94.3%

Most occurring characters

Value	Count	Frequency (%)
E	183682	8.9%
1	140620	6.8%
A	133056	6.5%
Y	113212	5.5%
J	96191	4.7%
P	95400	4.6%
5	90396	4.4%
D	84258	4.1%
3	83215	4.1%
G	81145	3.9%
Other values (24)	953215	46.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2054390	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	183682	8.9%
1	140620	6.8%
A	133056	6.5%
Y	113212	5.5%
J	96191	4.7%
P	95400	4.6%
5	90396	4.4%
D	84258	4.1%
3	83215	4.1%
G	81145	3.9%
Other values (24)	953215	46.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2054390	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	183682	8.9%
1	140620	6.8%
A	133056	6.5%
Y	113212	5.5%
J	96191	4.7%
P	95400	4.6%
5	90396	4.4%
D	84258	4.1%
3	83215	4.1%
G	81145	3.9%
Other values (24)	953215	46.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2054390	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	183682	8.9%
1	140620	6.8%
A	133056	6.5%
Y	113212	5.5%
J	96191	4.7%
P	95400	4.6%
5	90396	4.4%
D	84258	4.1%
3	83215	4.1%
G	81145	3.9%
Other values (24)	953215	46.4%

County
Text

Distinct	205
Distinct (%)	0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	10.7 MiB

Length

Max length	20
Median length	4
Mean length	5.498895
Min length	3

Characters and Unicode

Total characters	1129671
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	< 0.1%

Sample

1st row	Kitsap
2nd row	Kitsap
3rd row	King
4th row	King
5th row	Thurston

Value	Count	Frequency (%)
king	105237	50.6%
snohomish	24721	11.9%
pierce	16197	7.8%
clark	12231	5.9%
thurston	7526	3.6%
kitsap	6848	3.3%
spokane	5460	2.6%
whatcom	4978	2.4%
benton	2546	1.2%
skagit	2266	1.1%
Other values (210)	19940	9.6%

Most occurring characters

Value	Count	Frequency (%)
i	162985	14.4%
n	159733	14.1%
K	113202	10.0%
g	108337	9.6%
o	74994	6.6%
h	63698	5.6%
a	52211	4.6%
s	46748	4.1%
e	45852	4.1%
r	41113	3.6%
Other values (42)	260798	23.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1129671	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	162985	14.4%
n	159733	14.1%
K	113202	10.0%
g	108337	9.6%
o	74994	6.6%
h	63698	5.6%
a	52211	4.6%
s	46748	4.1%
e	45852	4.1%
r	41113	3.6%
Other values (42)	260798	23.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1129671	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	162985	14.4%
n	159733	14.1%
K	113202	10.0%
g	108337	9.6%
o	74994	6.6%
h	63698	5.6%
a	52211	4.6%
s	46748	4.1%
e	45852	4.1%
r	41113	3.6%
Other values (42)	260798	23.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1129671	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	162985	14.4%
n	159733	14.1%
K	113202	10.0%
g	108337	9.6%
o	74994	6.6%
h	63698	5.6%
a	52211	4.6%
s	46748	4.1%
e	45852	4.1%
r	41113	3.6%
Other values (42)	260798	23.1%

City
Text

Distinct	770
Distinct (%)	0.4%
Missing	3
Missing (%)	< 0.1%
Memory size	11.2 MiB

Length

Max length	24
Median length	22
Mean length	8.2139839
Min length	3

Characters and Unicode

Total characters	1687448
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	262 ?
Unique (%)	0.1%

Sample

1st row	Seabeck
2nd row	Bremerton
3rd row	Seattle
4th row	Seattle
5th row	Yelm

Value	Count	Frequency (%)
seattle	33328	14.0%
bellevue	10235	4.3%
redmond	7341	3.1%
vancouver	7286	3.1%
bothell	6769	2.8%
kirkland	5998	2.5%
renton	5986	2.5%
sammamish	5908	2.5%
island	5568	2.3%
olympia	4966	2.1%
Other values (807)	145119	60.8%

Most occurring characters

Value	Count	Frequency (%)
e	230045	13.6%
a	163122	9.7%
l	149516	8.9%
t	116445	6.9%
n	112430	6.7%
o	100238	5.9%
r	70390	4.2%
i	66733	4.0%
S	57061	3.4%
d	55856	3.3%
Other values (42)	565612	33.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1687448	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	230045	13.6%
a	163122	9.7%
l	149516	8.9%
t	116445	6.9%
n	112430	6.7%
o	100238	5.9%
r	70390	4.2%
i	66733	4.0%
S	57061	3.4%
d	55856	3.3%
Other values (42)	565612	33.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1687448	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	230045	13.6%
a	163122	9.7%
l	149516	8.9%
t	116445	6.9%
n	112430	6.7%
o	100238	5.9%
r	70390	4.2%
i	66733	4.0%
S	57061	3.4%
d	55856	3.3%
Other values (42)	565612	33.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1687448	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	230045	13.6%
a	163122	9.7%
l	149516	8.9%
t	116445	6.9%
n	112430	6.7%
o	100238	5.9%
r	70390	4.2%
i	66733	4.0%
S	57061	3.4%
d	55856	3.3%
Other values (42)	565612	33.5%

State
Categorical

HIGH CORRELATION IMBALANCE

Distinct	45
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 MiB

WA	204997
CA	116
VA	58
MD	32
TX	26
Other values (40)	210

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	410878
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	WA
2nd row	WA
3rd row	WA
4th row	WA
5th row	WA

Common Values

Value	Count	Frequency (%)
WA	204997	99.8%
CA	116	0.1%
VA	58	< 0.1%
MD	32	< 0.1%
TX	26	< 0.1%
CO	17	< 0.1%
NC	16	< 0.1%
IL	13	< 0.1%
AZ	13	< 0.1%
FL	11	< 0.1%
Other values (35)	140	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wa	204997	99.8%
ca	116	0.1%
va	58	< 0.1%
md	32	< 0.1%
tx	26	< 0.1%
co	17	< 0.1%
nc	16	< 0.1%
il	13	< 0.1%
az	13	< 0.1%
fl	11	< 0.1%
Other values (35)	140	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	205221	49.9%
W	204999	49.9%
C	168	< 0.1%
V	67	< 0.1%
N	49	< 0.1%
M	47	< 0.1%
D	41	< 0.1%
T	40	< 0.1%
L	37	< 0.1%
I	34	< 0.1%
Other values (15)	175	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	410878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	205221	49.9%
W	204999	49.9%
C	168	< 0.1%
V	67	< 0.1%
N	49	< 0.1%
M	47	< 0.1%
D	41	< 0.1%
T	40	< 0.1%
L	37	< 0.1%
I	34	< 0.1%
Other values (15)	175	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	410878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	205221	49.9%
W	204999	49.9%
C	168	< 0.1%
V	67	< 0.1%
N	49	< 0.1%
M	47	< 0.1%
D	41	< 0.1%
T	40	< 0.1%
L	37	< 0.1%
I	34	< 0.1%
Other values (15)	175	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	410878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	205221	49.9%
W	204999	49.9%
C	168	< 0.1%
V	67	< 0.1%
N	49	< 0.1%
M	47	< 0.1%
D	41	< 0.1%
T	40	< 0.1%
L	37	< 0.1%
I	34	< 0.1%
Other values (15)	175	< 0.1%

Postal Code
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	929
Distinct (%)	0.5%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	98177.972

Minimum	1731
Maximum	99577
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1731
5-th percentile	98007
Q1	98052
median	98125
Q3	98372
95-th percentile	99001
Maximum	99577
Range	97846
Interquartile range (IQR)	320

Descriptive statistics

Standard deviation	2419.0375
Coefficient of variation (CV)	0.02463931
Kurtosis	963.32419
Mean	98177.972
Median Absolute Deviation (MAD)	101
Skewness	-30.211164
Sum	2.016929 × 10¹⁰
Variance	5851742.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98052	5203	2.5%
98012	3876	1.9%
98033	3417	1.7%
98006	3252	1.6%
98188	3205	1.6%
98004	3184	1.5%
98115	3067	1.5%
98074	2829	1.4%
98072	2746	1.3%
98034	2646	1.3%
Other values (919)	172011	83.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1731	2	< 0.1%
1749	1	< 0.1%
2116	1	< 0.1%
2827	1	< 0.1%
2842	2	< 0.1%
3804	1	< 0.1%
6335	1	< 0.1%
6340	1	< 0.1%
6355	1	< 0.1%
6365	1	< 0.1%

Value	Count	Frequency (%)
99577	1	< 0.1%
99403	71	< 0.1%
99402	12	< 0.1%
99362	406	0.2%
99361	13	< 0.1%
99360	8	< 0.1%
99357	22	< 0.1%
99356	1	< 0.1%
99354	325	0.2%
99353	275	0.1%

Model Year
Real number (ℝ)

HIGH CORRELATION

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2020.9604

Minimum	1997
Maximum	2025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1997
5-th percentile	2015
Q1	2019
median	2022
Q3	2023
95-th percentile	2024
Maximum	2025
Range	28
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9890589
Coefficient of variation (CV)	0.0014790289
Kurtosis	0.8392647
Mean	2020.9604
Median Absolute Deviation (MAD)	1
Skewness	-1.2144026
Sum	4.1518408 × 10⁸
Variance	8.9344729
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2023	60161	29.3%
2024	30030	14.6%
2022	28465	13.9%
2021	19837	9.7%
2018	14386	7.0%
2020	12241	6.0%
2019	10872	5.3%
2017	8662	4.2%
2016	5474	2.7%
2015	4741	2.3%
Other values (12)	10570	5.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1997	1	< 0.1%
1999	4	< 0.1%
2000	7	< 0.1%
2002	2	< 0.1%
2003	1	< 0.1%
2008	22	< 0.1%
2010	24	< 0.1%
2011	707	0.3%
2012	1549	0.8%
2013	4331	2.1%

Value	Count	Frequency (%)
2025	415	0.2%
2024	30030	14.6%
2023	60161	29.3%
2022	28465	13.9%
2021	19837	9.7%
2020	12241	6.0%
2019	10872	5.3%
2018	14386	7.0%
2017	8662	4.2%
2016	5474	2.7%

Make
Categorical

HIGH CORRELATION

Distinct	42
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.7 MiB

TESLA	90318
CHEVROLET	15114
NISSAN	14525
FORD	10840
KIA	9104
Other values (37)	65538

Length

Max length	20
Median length	14
Mean length	5.5576059
Min length	3

Characters and Unicode

Total characters	1141749
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TOYOTA
2nd row	NISSAN
3rd row	TESLA
4th row	NISSAN
5th row	CHEVROLET

Common Values

Value	Count	Frequency (%)
TESLA	90318	44.0%
CHEVROLET	15114	7.4%
NISSAN	14525	7.1%
FORD	10840	5.3%
KIA	9104	4.4%
BMW	8481	4.1%
TOYOTA	7945	3.9%
HYUNDAI	5782	2.8%
RIVIAN	5679	2.8%
VOLKSWAGEN	5638	2.7%
Other values (32)	32013	15.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tesla	90318	43.9%
chevrolet	15114	7.4%
nissan	14525	7.1%
ford	10840	5.3%
kia	9104	4.4%
bmw	8481	4.1%
toyota	7945	3.9%
hyundai	5782	2.8%
rivian	5679	2.8%
volkswagen	5638	2.7%
Other values (37)	32169	15.6%

Most occurring characters

Value	Count	Frequency (%)
E	153128	13.4%
A	151132	13.2%
S	138026	12.1%
T	124562	10.9%
L	124091	10.9%
O	61902	5.4%
I	52362	4.6%
N	51119	4.5%
R	45521	4.0%
V	36254	3.2%
Other values (18)	203652	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1141749	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	153128	13.4%
A	151132	13.2%
S	138026	12.1%
T	124562	10.9%
L	124091	10.9%
O	61902	5.4%
I	52362	4.6%
N	51119	4.5%
R	45521	4.0%
V	36254	3.2%
Other values (18)	203652	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1141749	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	153128	13.4%
A	151132	13.2%
S	138026	12.1%
T	124562	10.9%
L	124091	10.9%
O	61902	5.4%
I	52362	4.6%
N	51119	4.5%
R	45521	4.0%
V	36254	3.2%
Other values (18)	203652	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1141749	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	153128	13.4%
A	151132	13.2%
S	138026	12.1%
T	124562	10.9%
L	124091	10.9%
O	61902	5.4%
I	52362	4.6%
N	51119	4.5%
R	45521	4.0%
V	36254	3.2%
Other values (18)	203652	17.8%

Model
Text

Distinct	152
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	10.9 MiB

Length

Max length	24
Median length	7
Mean length	6.4274282
Min length	2

Characters and Unicode

Total characters	1320438
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	RAV4 PRIME
2nd row	LEAF
3rd row	MODEL 3
4th row	LEAF
5th row	BOLT EV

Value	Count	Frequency (%)
model	89680	27.5%
y	43437	13.3%
3	32113	9.9%
leaf	13488	4.1%
bolt	9492	2.9%
s	7881	2.4%
ev	7518	2.3%
x	6249	1.9%
prime	6090	1.9%
volt	4829	1.5%
Other values (150)	104791	32.2%

Most occurring characters

Value	Count	Frequency (%)
E	153754	11.6%
L	132001	10.0%
O	127861	9.7%
	120130	9.1%
M	106168	8.0%
D	98873	7.5%
A	56243	4.3%
R	49143	3.7%
Y	47883	3.6%
I	46315	3.5%
Other values (28)	382067	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1320438	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	153754	11.6%
L	132001	10.0%
O	127861	9.7%
	120130	9.1%
M	106168	8.0%
D	98873	7.5%
A	56243	4.3%
R	49143	3.7%
Y	47883	3.6%
I	46315	3.5%
Other values (28)	382067	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1320438	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	153754	11.6%
L	132001	10.0%
O	127861	9.7%
	120130	9.1%
M	106168	8.0%
D	98873	7.5%
A	56243	4.3%
R	49143	3.7%
Y	47883	3.6%
I	46315	3.5%
Other values (28)	382067	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1320438	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	153754	11.6%
L	132001	10.0%
O	127861	9.7%
	120130	9.1%
M	106168	8.0%
D	98873	7.5%
A	56243	4.3%
R	49143	3.7%
Y	47883	3.6%
I	46315	3.5%
Other values (28)	382067	28.9%

E.V_Type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.2 MiB

BEV	161539
PHEV	43900

Length

Max length	4
Median length	3
Mean length	3.2136887
Min length	3

Characters and Unicode

Total characters	660217
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PHEV
2nd row	BEV
3rd row	BEV
4th row	BEV
5th row	BEV

Common Values

Value	Count	Frequency (%)
BEV	161539	78.6%
PHEV	43900	21.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bev	161539	78.6%
phev	43900	21.4%

Most occurring characters

Value	Count	Frequency (%)
E	205439	31.1%
V	205439	31.1%
B	161539	24.5%
P	43900	6.6%
H	43900	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	660217	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	205439	31.1%
V	205439	31.1%
B	161539	24.5%
P	43900	6.6%
H	43900	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	660217	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	205439	31.1%
V	205439	31.1%
B	161539	24.5%
P	43900	6.6%
H	43900	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	660217	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	205439	31.1%
V	205439	31.1%
B	161539	24.5%
P	43900	6.6%
H	43900	6.6%

CAFV
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.9 MiB

unknown	114172
known	70016
not eligible	21251

Length

Max length	12
Median length	7
Mean length	6.8355862
Min length	5

Characters and Unicode

Total characters	1404296
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	known
2nd row	known
3rd row	known
4th row	known
5th row	known

Common Values

Value	Count	Frequency (%)
unknown	114172	55.6%
known	70016	34.1%
not eligible	21251	10.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	114172	50.4%
known	70016	30.9%
not	21251	9.4%
eligible	21251	9.4%

Most occurring characters

Value	Count	Frequency (%)
n	503799	35.9%
o	205439	14.6%
k	184188	13.1%
w	184188	13.1%
u	114172	8.1%
e	42502	3.0%
l	42502	3.0%
i	42502	3.0%
t	21251	1.5%
	21251	1.5%
Other values (2)	42502	3.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1404296	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	503799	35.9%
o	205439	14.6%
k	184188	13.1%
w	184188	13.1%
u	114172	8.1%
e	42502	3.0%
l	42502	3.0%
i	42502	3.0%
t	21251	1.5%
	21251	1.5%
Other values (2)	42502	3.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1404296	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	503799	35.9%
o	205439	14.6%
k	184188	13.1%
w	184188	13.1%
u	114172	8.1%
e	42502	3.0%
l	42502	3.0%
i	42502	3.0%
t	21251	1.5%
	21251	1.5%
Other values (2)	42502	3.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1404296	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	503799	35.9%
o	205439	14.6%
k	184188	13.1%
w	184188	13.1%
u	114172	8.1%
e	42502	3.0%
l	42502	3.0%
i	42502	3.0%
t	21251	1.5%
	21251	1.5%
Other values (2)	42502	3.0%

Electric Range
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	105
Distinct (%)	0.1%
Missing	8
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	52.164342

Minimum	0
Maximum	337
Zeros	114172
Zeros (%)	55.6%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	48
95-th percentile	249
Maximum	337
Range	337
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	88.075859
Coefficient of variation (CV)	1.6884304
Kurtosis	1.2618468
Mean	52.164342
Median Absolute Deviation (MAD)	0
Skewness	1.6481268
Sum	10716173
Variance	7757.357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	114172	55.6%
215	6426	3.1%
32	4895	2.4%
25	4429	2.2%
21	4220	2.1%
238	4007	2.0%
220	4004	1.9%
84	3845	1.9%
42	3054	1.5%
38	2524	1.2%
Other values (95)	53855	26.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	114172	55.6%
6	945	0.5%
8	38	< 0.1%
9	21	< 0.1%
10	167	0.1%
11	4	< 0.1%
12	166	0.1%
13	359	0.2%
14	1116	0.5%
15	89	< 0.1%

Value	Count	Frequency (%)
337	86	< 0.1%
330	337	0.2%
322	1762	0.9%
308	507	0.2%
293	463	0.2%
291	2313	1.1%
289	655	0.3%
270	270	0.1%
266	1452	0.7%
265	128	0.1%

Base MSRP
Real number (ℝ)

ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	8
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	922.67053

Minimum	0
Maximum	845000
Zeros	202114
Zeros (%)	98.4%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	845000
Range	845000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7761.7536
Coefficient of variation (CV)	8.41227
Kurtosis	759.89611
Mean	922.67053
Median Absolute Deviation (MAD)	0
Skewness	14.451484
Sum	1.8954513 × 10⁸
Variance	60244819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	202114	98.4%
69900	1359	0.7%
31950	365	0.2%
52900	220	0.1%
32250	138	0.1%
59900	128	0.1%
54950	124	0.1%
39995	116	0.1%
36900	103	0.1%
44100	99	< 0.1%
Other values (21)	665	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	202114	98.4%
31950	365	0.2%
32250	138	0.1%
32995	3	< 0.1%
33950	71	< 0.1%
34995	64	< 0.1%
36800	52	< 0.1%
36900	103	0.1%
39995	116	0.1%
43700	9	< 0.1%

Value	Count	Frequency (%)
845000	1	< 0.1%
184400	10	< 0.1%
110950	21	< 0.1%
109000	6	< 0.1%
102000	13	< 0.1%
98950	21	< 0.1%
91250	4	< 0.1%
90700	16	< 0.1%
89100	8	< 0.1%
81100	23	< 0.1%

Legislative District
Real number (ℝ)

HIGH CORRELATION

Distinct	49
Distinct (%)	< 0.1%
Missing	442
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	28.970848

Minimum	1
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	17
median	33
Q3	42
95-th percentile	48
Maximum	49
Range	48
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.910052
Coefficient of variation (CV)	0.51465706
Kurtosis	-1.1197786
Mean	28.970848
Median Absolute Deviation (MAD)	12
Skewness	-0.43916207
Sum	5938937
Variance	222.30964
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
41	12994	6.3%
45	12003	5.8%
48	11184	5.4%
1	8946	4.4%
5	8787	4.3%
11	8773	4.3%
36	8297	4.0%
46	7790	3.8%
43	7236	3.5%
37	5994	2.9%
Other values (39)	112993	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8946	4.4%
2	2424	1.2%
3	1012	0.5%
4	1810	0.9%
5	8787	4.3%
6	2004	1.0%
7	973	0.5%
8	2158	1.1%
9	1171	0.6%
10	3566	1.7%

Value	Count	Frequency (%)
49	2913	1.4%
48	11184	5.4%
47	3772	1.8%
46	7790	3.8%
45	12003	5.8%
44	5565	2.7%
43	7236	3.5%
42	2930	1.4%
41	12994	6.3%
40	4303	2.1%

DOL Vehicle ID
Real number (ℝ)

UNIQUE

Distinct	205439
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2771562 × 10⁸

Minimum	4469
Maximum	4.7925477 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	4469
5-th percentile	1.1310642 × 10⁸
Q1	1.9353244 × 10⁸
median	2.3823684 × 10⁸
Q3	2.6187177 × 10⁸
95-th percentile	3.1901961 × 10⁸
Maximum	4.7925477 × 10⁸
Range	4.792503 × 10⁸
Interquartile range (IQR)	68339334

Descriptive statistics

Standard deviation	72057372
Coefficient of variation (CV)	0.31643579
Kurtosis	3.6759381
Mean	2.2771562 × 10⁸
Median Absolute Deviation (MAD)	27730682
Skewness	0.32336659
Sum	4.6781669 × 10¹³
Variance	5.1922648 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240684006	1	< 0.1%
249393770	1	< 0.1%
150024689	1	< 0.1%
261919150	1	< 0.1%
251776654	1	< 0.1%
235951292	1	< 0.1%
245853856	1	< 0.1%
186442210	1	< 0.1%
104376898	1	< 0.1%
259796652	1	< 0.1%
Other values (205429)	205429	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4469	1	< 0.1%
4777	1	< 0.1%
10734	1	< 0.1%
12050	1	< 0.1%
24629	1	< 0.1%
27702	1	< 0.1%
35325	1	< 0.1%
46112	1	< 0.1%
61092	1	< 0.1%
62261	1	< 0.1%

Value	Count	Frequency (%)
479254772	1	< 0.1%
479114996	1	< 0.1%
478935460	1	< 0.1%
478934571	1	< 0.1%
478926346	1	< 0.1%
478925947	1	< 0.1%
478925163	1	< 0.1%
478924358	1	< 0.1%
478916028	1	< 0.1%
478910428	1	< 0.1%

Vehicle Location
Text

Distinct	928
Distinct (%)	0.5%
Missing	8
Missing (%)	< 0.1%
Memory size	15.5 MiB

Length

Max length	31
Median length	31
Mean length	30.12852
Min length	26

Characters and Unicode

Total characters	6189332
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	351 ?
Unique (%)	0.2%

Sample

1st row	POINT (-122.8728334 47.5798304)
2nd row	POINT (-122.6961203 47.5759584)
3rd row	POINT (-122.3340795 47.6099315)
4th row	POINT (-122.304356 47.715668)
5th row	POINT (-122.5715761 46.9095798)

Value	Count	Frequency (%)
point	205431	33.3%
47.6705374	5203	0.8%
122.1207376	5203	0.8%
122.206146	3876	0.6%
47.839957	3876	0.6%
122.1925969	3417	0.6%
47.676241	3417	0.6%
122.144149	3252	0.5%
47.560742	3252	0.5%
122.271716	3205	0.5%
Other values (1847)	376161	61.0%

Most occurring characters

Value	Count	Frequency (%)
2	667489	10.8%
1	499897	8.1%
4	463491	7.5%
7	443922	7.2%
.	410862	6.6%
	410862	6.6%
6	323630	5.2%
3	306731	5.0%
5	278284	4.5%
8	254825	4.1%
Other values (10)	2129339	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6189332	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	667489	10.8%
1	499897	8.1%
4	463491	7.5%
7	443922	7.2%
.	410862	6.6%
	410862	6.6%
6	323630	5.2%
3	306731	5.0%
5	278284	4.5%
8	254825	4.1%
Other values (10)	2129339	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6189332	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	667489	10.8%
1	499897	8.1%
4	463491	7.5%
7	443922	7.2%
.	410862	6.6%
	410862	6.6%
6	323630	5.2%
3	306731	5.0%
5	278284	4.5%
8	254825	4.1%
Other values (10)	2129339	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6189332	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	667489	10.8%
1	499897	8.1%
4	463491	7.5%
7	443922	7.2%
.	410862	6.6%
	410862	6.6%
6	323630	5.2%
3	306731	5.0%
5	278284	4.5%
8	254825	4.1%
Other values (10)	2129339	34.4%

Electric Utility
Text

Distinct	74
Distinct (%)	< 0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	18.3 MiB

Length

Max length	112
Median length	110
Mean length	44.280545
Min length	10

Characters and Unicode

Total characters	9096818
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PUGET SOUND ENERGY INC
2nd row	PUGET SOUND ENERGY INC
3rd row	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
4th row	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
5th row	PUGET SOUND ENERGY INC

Value	Count	Frequency (%)
of	191315	12.5%
	179062	11.7%
wa	125029	8.2%
tacoma	123304	8.0%
energy	123170	8.0%
sound	123170	8.0%
puget	122084	8.0%
inc\|\|city	75156	4.9%
power	45573	3.0%
inc	42547	2.8%
Other values (112)	382547	25.0%

Most occurring characters

Value	Count	Frequency (%)
	1327521	14.6%
O	668731	7.4%
N	652310	7.2%
T	629733	6.9%
A	611243	6.7%
E	596244	6.6%
I	499065	5.5%
C	494223	5.4%
Y	331453	3.6%
U	320263	3.5%
Other values (26)	2966032	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9096818	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1327521	14.6%
O	668731	7.4%
N	652310	7.2%
T	629733	6.9%
A	611243	6.7%
E	596244	6.6%
I	499065	5.5%
C	494223	5.4%
Y	331453	3.6%
U	320263	3.5%
Other values (26)	2966032	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9096818	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1327521	14.6%
O	668731	7.4%
N	652310	7.2%
T	629733	6.9%
A	611243	6.7%
E	596244	6.6%
I	499065	5.5%
C	494223	5.4%
Y	331453	3.6%
U	320263	3.5%
Other values (26)	2966032	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9096818	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1327521	14.6%
O	668731	7.4%
N	652310	7.2%
T	629733	6.9%
A	611243	6.7%
E	596244	6.6%
I	499065	5.5%
C	494223	5.4%
Y	331453	3.6%
U	320263	3.5%
Other values (26)	2966032	32.6%

2020 Census Tract
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	2163
Distinct (%)	1.1%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.2977042 × 10¹⁰

Minimum	1.0010201 × 10⁹
Maximum	5.6021001 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1.0010201 × 10⁹
5-th percentile	5.3011041 × 10¹⁰
Q1	5.303301 × 10¹⁰
median	5.303303 × 10¹⁰
Q3	5.3053073 × 10¹⁰
95-th percentile	5.3067012 × 10¹⁰
Maximum	5.6021001 × 10¹⁰
Range	5.5019981 × 10¹⁰
Interquartile range (IQR)	20063321

Descriptive statistics

Standard deviation	1.5884355 × 10⁹
Coefficient of variation (CV)	0.029983468
Kurtosis	758.2537
Mean	5.2977042 × 10¹⁰
Median Absolute Deviation (MAD)	28603
Skewness	-27.122212
Sum	1.0883392 × 10¹⁶
Variance	2.5231272 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.30330282 × 10¹⁰	2598	1.3%
5.30330262 × 10¹⁰	1151	0.6%
5.303303232 × 10¹⁰	905	0.4%
5.30330093 × 10¹⁰	799	0.4%
5.30670112 × 10¹⁰	761	0.4%
5.303303232 × 10¹⁰	678	0.3%
5.30330228 × 10¹⁰	660	0.3%
5.306105211 × 10¹⁰	659	0.3%
5.303303222 × 10¹⁰	648	0.3%
5.30330285 × 10¹⁰	641	0.3%
Other values (2153)	195936	95.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001020100	3	< 0.1%
1081041901	1	< 0.1%
1089011028	1	< 0.1%
1097006803	1	< 0.1%
1101000900	2	< 0.1%
1101005503	1	< 0.1%
1117030613	1	< 0.1%
2020000206	1	< 0.1%
4013061052	1	< 0.1%
4013104802	1	< 0.1%

Value	Count	Frequency (%)
5.60210011 × 10¹⁰	1	< 0.1%
5.50090205 × 10¹⁰	1	< 0.1%
5.307794001 × 10¹⁰	2	< 0.1%
5.307794001 × 10¹⁰	7	< 0.1%
5.307794001 × 10¹⁰	5	< 0.1%
5.307794 × 10¹⁰	3	< 0.1%
5.307794 × 10¹⁰	8	< 0.1%
5.307794 × 10¹⁰	8	< 0.1%
5.307794 × 10¹⁰	6	< 0.1%
5.30770034 × 10¹⁰	42	< 0.1%

Auto

Heatmap
Table

	2020 Census Tract	Base MSRP	CAFV	DOL Vehicle ID	E.V_Type	Electric Range	Legislative District	Make	Model Year	Postal Code	State
2020 Census Tract	1.000	0.000	0.004	0.006	0.007	-0.013	-0.186	0.000	0.012	0.063	0.982
Base MSRP	0.000	1.000	0.023	-0.048	0.018	0.124	0.009	0.080	-0.180	-0.001	0.025
CAFV	0.004	0.023	1.000	0.351	0.746	0.645	0.059	0.588	0.492	0.003	0.008
DOL Vehicle ID	0.006	-0.048	0.351	1.000	0.073	-0.175	-0.013	0.118	0.451	-0.001	0.011
E.V_Type	0.007	0.018	0.746	0.073	1.000	0.529	0.114	0.760	0.175	0.007	0.009
Electric Range	-0.013	0.124	0.645	-0.175	0.529	1.000	-0.012	0.364	-0.654	0.067	0.010
Legislative District	-0.186	0.009	0.059	-0.013	0.114	-0.012	1.000	0.103	-0.016	-0.330	1.000
Make	0.000	0.080	0.588	0.118	0.760	0.364	0.103	1.000	0.194	0.000	0.000
Model Year	0.012	-0.180	0.492	0.451	0.175	-0.654	-0.016	0.194	1.000	-0.055	0.000
Postal Code	0.063	-0.001	0.003	-0.001	0.007	0.067	-0.330	0.000	-0.055	1.000	0.935
State	0.982	0.025	0.008	0.011	0.009	0.010	1.000	0.000	0.000	0.935	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	VIN (1-10)	County	City	State	Postal Code	Model Year	Make	Model	E.V_Type	CAFV	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility	2020 Census Tract
0	JTMAB3FV3P	Kitsap	Seabeck	WA	98380.0	2023	TOYOTA	RAV4 PRIME	PHEV	known	42.0	35.0	240684006	POINT (-122.8728334 47.5798304)	PUGET SOUND ENERGY INC	5.303509e+10
1	1N4AZ1CP6J	Kitsap	Bremerton	WA	98312.0	2018	NISSAN	LEAF	BEV	known	151.0	35.0	474183811	POINT (-122.6961203 47.5759584)	PUGET SOUND ENERGY INC	5.303508e+10
2	5YJ3E1EA4L	King	Seattle	WA	98101.0	2020	TESLA	MODEL 3	BEV	known	266.0	43.0	113120017	POINT (-122.3340795 47.6099315)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	5.303301e+10
3	1N4AZ0CP8E	King	Seattle	WA	98125.0	2014	NISSAN	LEAF	BEV	known	84.0	46.0	108188713	POINT (-122.304356 47.715668)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	5.303300e+10
4	1G1FX6S00H	Thurston	Yelm	WA	98597.0	2017	CHEVROLET	BOLT EV	BEV	known	238.0	20.0	176448940	POINT (-122.5715761 46.9095798)	PUGET SOUND ENERGY INC	5.306701e+10
5	5YJYGDEE5L	Snohomish	Lynnwood	WA	98036.0	2020	TESLA	MODEL Y	BEV	known	291.0	21.0	124511187	POINT (-122.287143 47.812199)	PUGET SOUND ENERGY INC	5.306105e+10
6	KM8S6DA23N	Kitsap	Poulsbo	WA	98370.0	2022	HYUNDAI	SANTA FE	PHEV	known	31.0	23.0	212217764	POINT (-122.6368884 47.7469547)	PUGET SOUND ENERGY INC	5.303509e+10
7	7FCTGAAA1P	Snohomish	Arlington	WA	98223.0	2023	RIVIAN	R1T	BEV	unknown	0.0	39.0	252414039	POINT (-122.11597 48.194109)	PUGET SOUND ENERGY INC	5.306105e+10
8	5YJYGDEE9L	King	Kent	WA	98031.0	2020	TESLA	MODEL Y	BEV	known	291.0	47.0	112668510	POINT (-122.201564 47.402358)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
9	1N4AZ0CP2F	King	Kirkland	WA	98034.0	2015	NISSAN	LEAF	BEV	known	84.0	45.0	109765204	POINT (-122.2026532 47.7210518)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10

	VIN (1-10)	County	City	State	Postal Code	Model Year	Make	Model	E.V_Type	CAFV	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility	2020 Census Tract
205429	5YJYGDEF6M	Pierce	University Place	WA	98467.0	2021	TESLA	MODEL Y	BEV	unknown	0.0	28.0	261718698	POINT (-122.5325066 47.2051509)	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	5.305307e+10
205430	5YJ3E1EA2N	Whatcom	Blaine	WA	98230.0	2022	TESLA	MODEL 3	BEV	unknown	0.0	42.0	208668638	POINT (-122.7318295 48.953176)	CITY OF BLAINE - (WA)\|\|PUD NO 1 OF WHATCOM COUNTY	5.307301e+10
205431	5YJ3E1EA4L	Snohomish	Marysville	WA	98270.0	2020	TESLA	MODEL 3	BEV	known	266.0	38.0	127376686	POINT (-122.1515174 48.0650751)	PUGET SOUND ENERGY INC	5.306105e+10
205432	7SAYGDEE5P	Spokane	Nine Mile Falls	WA	99026.0	2023	TESLA	MODEL Y	BEV	unknown	0.0	6.0	259908589	POINT (-117.6098695 47.8047804)	BONNEVILLE POWER ADMINISTRATION\|\|AVISTA CORP\|\|INLAND POWER & LIGHT COMPANY	5.306301e+10
205433	WA1E2AFY9P	Clark	Vancouver	WA	98664.0	2023	AUDI	Q5 E	PHEV	not eligible	23.0	49.0	240695682	POINT (-122.575383 45.620105)	BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	5.301104e+10
205434	1N4BZ1CV2N	Chelan	Peshastin	WA	98847.0	2022	NISSAN	LEAF	BEV	unknown	0.0	12.0	187384494	POINT (-120.6051696 47.5510173)	PUD NO 1 OF CHELAN COUNTY	5.300796e+10
205435	1FTVW1EV0P	Snohomish	Everett	WA	98208.0	2023	FORD	F-150	BEV	unknown	0.0	44.0	255036386	POINT (-122.2032349 47.8956271)	PUGET SOUND ENERGY INC	5.306104e+10
205436	5YJXCDE22H	Spokane	Cheney	WA	99004.0	2017	TESLA	MODEL X	BEV	known	200.0	6.0	221631588	POINT (-117.5836098 47.4951312)	BONNEVILLE POWER ADMINISTRATION\|\|AVISTA CORP\|\|INLAND POWER & LIGHT COMPANY	5.306301e+10
205437	5YJ3E1EA3J	King	Vashon	WA	98070.0	2018	TESLA	MODEL 3	BEV	known	215.0	34.0	336983496	POINT (-122.466938 47.429244)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
205438	7SAYGDEE7P	Spokane	Spokane	WA	99208.0	2023	TESLA	MODEL Y	BEV	unknown	0.0	6.0	228335040	POINT (-117.4268937 47.7323627)	BONNEVILLE POWER ADMINISTRATION\|\|AVISTA CORP\|\|INLAND POWER & LIGHT COMPANY	5.306301e+10

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values